IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v67y2024ipas1544612324008614.html
   My bibliography  Save this article

Examining the integration of real estate into financial assets: A critical analysis of China's regulatory framework for nonreal estate corporations

Author

Listed:
  • Sun, Liangzhu
  • Wang, Xingdong
  • Wu, Yigen
  • Zeng, Zhen

Abstract

This study explores the integration of real estate into financial assets within the context of China's regulatory framework for nonreal estate corporate listed companies (NRELCs). The purpose is to assess the impact of NRELCs’ involvement in the real estate market on housing prices as influenced by monetary policy. The need for a solution is driven by the significant role of real estate in China's economic strategy and the challenges posed by speculative investments. Utilizing a mixed-method approach, this study employs empirical models to analyze data from 2007 to 2018. The key findings indicate that NRELCs’ entry into the real estate market significantly stimulates housing prices, with monetary policy acting as a critical driver. The interaction between credit expansion and NRELCs’ real estate activities exacerbates price fluctuations. Our findings highlight the necessity of controlling the financial attributes of real estate and suggest regulatory measures to curb speculative demand. The potential impact includes informing policy decisions to stabilize the housing market and promote sustainable economic growth.

Suggested Citation

  • Sun, Liangzhu & Wang, Xingdong & Wu, Yigen & Zeng, Zhen, 2024. "Examining the integration of real estate into financial assets: A critical analysis of China's regulatory framework for nonreal estate corporations," Finance Research Letters, Elsevier, vol. 67(PA).
  • Handle: RePEc:eee:finlet:v:67:y:2024:i:pa:s1544612324008614
    DOI: 10.1016/j.frl.2024.105831
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612324008614
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2024.105831?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wang, Yang & Zhou, Yang & Yu, Xinxin & Liu, Xiao, 2021. "Is domestic consumption dragged down by real estate sector?—Evidence from Chinese household wealth," International Review of Financial Analysis, Elsevier, vol. 75(C).
    2. Li, Rui & Xu, Shoufu & Zhang, Yun, 2023. "Can digital transformation reduce within-firm pay inequality? Evidence from China," Economic Modelling, Elsevier, vol. 129(C).
    3. Yu, Shoujin & Zhang, Ling & Zeng, Yanni & Zhang, Hao, 2017. "Dual influences of regulatory polices on real estate enterprises’ investment —based on the perspective of supply-side reform in China," Finance Research Letters, Elsevier, vol. 23(C), pages 50-57.
    4. Funke, Michael & Tsang, Andrew & Zhu, Linxu, 2018. "Not all cities are alike: House price heterogeneity and the design of macro-prudential policies in China," BOFIT Discussion Papers 18/2018, Bank of Finland Institute for Emerging Economies (BOFIT).
    5. Li, Xiao-Lin & Wang, Lijuan & Kong, Dongmin, 2023. "Macro-prudential policy and systemic risk of real estate firms: Evidence from China," Finance Research Letters, Elsevier, vol. 58(PC).
    6. Owen Lamont & Jeremy C. Stein, 1999. "Leverage and House-Price Dynamics in U.S. Cities," RAND Journal of Economics, The RAND Corporation, vol. 30(3), pages 498-514, Autumn.
    7. Gaowen Kong & Jiating Huang & Shasha Liu, 2023. "Digital Transformation and Within-Firm Pay Gap: Evidence from China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 59(6), pages 1748-1766, May.
    8. Guo, Yumei & Huang, Xianjing & Peng, Yuchao, 2020. "How does house price influence monetary policy transmission?," International Review of Financial Analysis, Elsevier, vol. 72(C).
    9. Kannan Prakash & Rabanal Pau & Scott Alasdair M., 2012. "Monetary and Macroprudential Policy Rules in a Model with House Price Booms," The B.E. Journal of Macroeconomics, De Gruyter, vol. 12(1), pages 1-44, June.
    10. repec:zbw:bofitp:2018_018 is not listed on IDEAS
    11. Kai Dong & Ching-Ter Chang & Shaonan Wang & Xiaoxi Liu, 2021. "The Dynamic Correlation among Financial Leverage, House Price, and Consumer Expenditure in China," Sustainability, MDPI, vol. 13(5), pages 1-18, March.
    12. Ren, Yu & Xiong, Cong & Yuan, Yufei, 2012. "House price bubbles in China," China Economic Review, Elsevier, vol. 23(4), pages 786-800.
    13. Carmichael, Benoît & Coën, Alain, 2020. "Real estate as a common risk factor in the financial sector: International evidence," Finance Research Letters, Elsevier, vol. 32(C).
    14. David Miles, 2012. "Population Density, House Prices and Mortgage Design," Scottish Journal of Political Economy, Scottish Economic Society, vol. 59(5), pages 444-466, November.
    15. Zhifang Su & Jr‐Tsung Huang & Arthur Jin Lin, 2021. "House price expectations, mortgages, and subjective well‐being in urban China," Journal of Consumer Affairs, Wiley Blackwell, vol. 55(4), pages 1540-1562, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yan, Yongjun & Xue, Xianlin, 2024. "Party organization governance and the internal pay gap in enterprises," Finance Research Letters, Elsevier, vol. 68(C).
    2. Zhao, Shifei & Liu, Jianwu & Jiang, Guizhong, 2024. "Executive education level heterogeneity and corporate internal pay gap," Finance Research Letters, Elsevier, vol. 67(PA).
    3. Jung, Hosung & Lee, Jieun, 2017. "The effects of macroprudential policies on house prices: Evidence from an event study using Korean real transaction data," Journal of Financial Stability, Elsevier, vol. 31(C), pages 167-185.
    4. Zull Kepili, Ema Izati, 2020. "The Impact of Macroeconomic Factors on the House Prices during Liberalisation," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 54(2), pages 1-12.
    5. Li, Wentao & Li, Xue & Peng, Lanying & Ning, Chong, 2024. "Silent actions: Digital transformation in private enterprises with state equity participation," Finance Research Letters, Elsevier, vol. 65(C).
    6. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95.
    7. Popoyan, Lilit & Napoletano, Mauro & Roventini, Andrea, 2017. "Taming macroeconomic instability: Monetary and macro-prudential policy interactions in an agent-based model," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 117-140.
    8. repec:hal:spmain:info:hdl:2441/5bnglqth5987gaq6dhju3psjn3 is not listed on IDEAS
    9. International Monetary Fund, 2011. "Kingdom of Netherlands: Netherlands: Selected Issues and Analytical Notes," IMF Staff Country Reports 2011/143, International Monetary Fund.
    10. Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Alessandro Sapio & Andrea Roventini & Tomas Balint & Igor Khorenzhenko, 2017. "Taming macroeconomic instability," SciencePo Working papers Main hal-03399574, HAL.
    11. Richard Dennis & Pelin Ilbas, 2016. "Monetary and Macroprudential Policy Games in a Monetary," Working Paper Research 304, National Bank of Belgium.
    12. Xiaoqin Sun & Yuhai Su & Honglei Liu & Chengyou Li, 2022. "The Impact of House Price on Urban Household Consumption: Micro Evidence from China," Sustainability, MDPI, vol. 14(19), pages 1-20, October.
    13. Wu, Guiying Laura & Feng, Qu & Li, Pei, 2015. "Does local governments’ budget deficit push up housing prices in China?," China Economic Review, Elsevier, vol. 35(C), pages 183-196.
    14. Jelena Zivanovic, 2021. "An Optimal Macroprudential Policy Mix for Segmented Credit Markets," Staff Working Papers 21-31, Bank of Canada.
    15. Yongsheng Jiang & Dong Zhao & Andrew Sanderford & Jing Du, 2018. "Effects of Bank Lending on Urban Housing Prices for Sustainable Development: A Panel Analysis of Chinese Cities," Sustainability, MDPI, vol. 10(3), pages 1-16, February.
    16. Guangyang Chen & Kai Dong & Shaonan Wang & Xiuli Du & Ronghua Zhou & Zhongwei Yang, 2022. "The Dynamic Relationship among Bank Credit, House Prices and Carbon Dioxide Emissions in China," IJERPH, MDPI, vol. 19(16), pages 1-18, August.
    17. Luc Laeven & Alexander Popov, 2017. "Waking Up from the American Dream: On the Experience of Young Americans during the Housing Boom of the 2000s," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(5), pages 861-895, August.
    18. Paolo Angelini & Stefano Neri & Fabio Panetta, 2011. "Monetary and macroprudential policies," Temi di discussione (Economic working papers) 801, Bank of Italy, Economic Research and International Relations Area.
    19. Gambacorta, Leonardo & Signoretti, Federico M., 2014. "Should monetary policy lean against the wind?," Journal of Economic Dynamics and Control, Elsevier, vol. 43(C), pages 146-174.
    20. Dominic Quint & Pau Rabanal, 2014. "Monetary and Macroprudential Policy in an Estimated DSGE Model of the Euro Area," International Journal of Central Banking, International Journal of Central Banking, vol. 10(2), pages 169-236, June.
    21. Catte, Pietro & Cova, Pietro & Pagano, Patrizio & Visco, Ignazio, 2011. "The role of macroeconomic policies in the global crisis," Journal of Policy Modeling, Elsevier, vol. 33(6), pages 787-803.

    More about this item

    Keywords

    Credit scale; House price; Financial attributes; Nonreal estate listed companies;
    All these keywords.

    JEL classification:

    • B22 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Macroeconomics
    • B23 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Econometrics; Quantitative and Mathematical Studies
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:finlet:v:67:y:2024:i:pa:s1544612324008614. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.